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cs.LG2026
DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series
Dennis Thumm, Billy Tim Anthony, Ying Chen
Most benchmarks for causal inference over time series are observational, small, or domain-specific, leaving interventional and counterfactual estimation under-served exactly where…
cs.LG2026
Interventional Time Series Priors for Causal Foundation Models
Dennis Thumm, Ying Chen
Prior-data fitted networks (PFNs) have emerged as powerful foundation models for tabular causal inference, yet their extension to time series remains limited by the absence of synt…